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| Bayesian Concept Bottleneck Models with LLM Priors | Oct 21, 2024 | Image Classificationtabular-classification | CodeCode Available | 0 | 5 |
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| Evaluating Uncertainty in Deep Gaussian Processes | Apr 24, 2025 | Gaussian ProcessesPoint Processes | CodeCode Available | 0 | 5 |
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| Equation Discovery with Bayesian Spike-and-Slab Priors and Efficient Kernels | Oct 9, 2023 | Equation Discoveryregression | CodeCode Available | 0 | 5 |
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| Epistemic Uncertainty in Conformal Scores: A Unified Approach | Feb 10, 2025 | Conformal PredictionGaussian Processes | CodeCode Available | 0 | 5 |
| EquiNO: A Physics-Informed Neural Operator for Multiscale Simulations | Mar 27, 2025 | Operator learningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Counterfactual Plans under Distributional Ambiguity | Jan 29, 2022 | counterfactualUncertainty Quantification | CodeCode Available | 0 | 5 |
| Exploring the Limits of Epistemic Uncertainty Quantification in Low-Shot Settings | Nov 18, 2021 | Out-of-Distribution DetectionUncertainty Quantification | CodeCode Available | 0 | 5 |
| A Multi-level procedure for enhancing accuracy of machine learning algorithms | Sep 20, 2019 | BIG-bench Machine LearningUncertainty Quantification | CodeCode Available | 0 | 5 |
| Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation | May 20, 2021 | Causal DiscoveryUncertainty Quantification | CodeCode Available | 0 | 5 |
| Emulating compact binary population synthesis simulations with robust uncertainty quantification and model comparison: Bayesian normalizing flows | Jun 6, 2025 | AstronomyUncertainty Quantification | CodeCode Available | 0 | 5 |
| Enhancing Diversity in Bayesian Deep Learning via Hyperspherical Energy Minimization of CKA | Oct 31, 2024 | Deep LearningDiversity | CodeCode Available | 0 | 5 |
